Data modeling does not excite passion within programmers. ... Those of us who are in their mid-50s and older remember when object-oriented programming didn’t exist.

Data-oriented programming encourages us to model data as (immutable) data, and keep the code that embodies the business logic of how we act on that data separately. Records, sealed classes, and ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day ...

In the OpenACC programming model, these three forms of parallelism (multicore, multi-threading and SIMT/SIMD) are called Gang, Worker, and Vector parallelism. The OpenACC programmer can express that ...

Instead of upfront modeling, before any code is written, as is common in the relational world, big data modeling is sometimes performed based on application queries in program code or tools. What we ...

Big data analysis additionally is driving the demand for even faster, more effective, and also energy-saving computer clusters. ... Like the programming model of MPI, ...

Topics include a review of multiple regression, assessing model accuracy, classification, resampling methods, model selection and regularization, nonlinear regression, tree-based methods, support ...

Core machine learning engineer: Computer science fundamentals and programming, applying machine learning algorithms and libraries, data modeling, and evaluation Additional resources The top 10 AI ...

The best master's in data science programs combine technical depth, interdisciplinary learning, industry connections, and strong career outcomes. Top programs typically offer: Comprehensive coursework ...